class_docstr: Dynamic Faiss Retrieval Flask resource.
  The PUT method is to get KNN tokens, add new chunks, reset index.
code: def __init__(
      self,
      index,
      tokenizer,
      chunk_size,
      stride,
      store,
      ctx_bert_ip,
      ctx_bert_port,
      query_bert_ip,
      query_bert_port,
      output_filename,
  ):
      super().__init__(
          index, tokenizer, store, query_bert_ip, query_bert_port
      )
      self.chunk_size = chunk_size
      self.stride = stride
      self.pad_id = self.tokenizer.pad_id
      self.ctx_bert_ip = ctx_bert_ip
      self.ctx_bert_port = ctx_bert_port
      self.output_filename = output_filename
  
imports: import base64
  import logging
  import pickle
  import threading
  import time
  from collections import namedtuple
  from typing import List
  import faiss
  import numpy
  import torch
  from flask import Flask, jsonify, request
  from flask_restful import Api
  from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec
  from nemo.collections.nlp.modules.common.megatron.retrieval_services.static_retrieval_server import FaissRetrievalResource
  from nemo.collections.nlp.modules.common.megatron.retrieval_services.util import lock, request_data
label_desc: Use image node_id 1 to create a new DynamicRetrievalResource object from inherited base classes: FaissRetrievalResource with example: obj = DynamicRetrievalResource(index, tokenizer, chunk_size, stride, store, ctx_bert_ip, ctx_bert_port, query_bert_ip, query_bert_port, output_filename)